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The relevance of cross-industry innovation has increased in recent decades with a growing number of inter-industry fields emerging on the borderline between formerly distinct industries. The aim of this paper is to analyse industry convergence in four probiotics innovation value chains based on the following indicators: cross-industry relationships along the innovation value chain as well as knowledge, technological, regulatory and competence convergence. In so doing, the study delivers a framework of indicators for scrutinising industry convergence processes. In order to identify industry convergence, we analyse companies in the converging area of foods and drugs based on products containing the four bacteria strains: Lactobacillus caseii DN 114001, Bifidobacterium lactis Bb12, Lactobacillus acidophilus LA5 and Lactobacillus rhamnosus. Hence, the commercial availability of the strains on the market serves as a selection criterion. Altogether 12 companies stemming from four industrial backgrounds, food and agriculture (5), pharmaceutics (5), chemistry (1) and personal care (1), as well as one research organisation are identified. Cross-industry relationships occur along the innovation value chains of the four strains. Clear signs of knowledge and technological convergence are found as companies are not only publishing and patenting in the usual area of their own industrial field but also in the area of other industrial fields. Companies with different industrial backgrounds show activities in obtaining health claims indicating regulatory convergence. Companies' competence bases seem to converge as companies with different industrial backgrounds are involved in acquisitions, licencing agreements and strategic alliances (competence convergence). We contribute to the existing body of literature by assessing industry convergence from an innovation value chain perspective with a set of indicators reflecting the intensity of industry convergence. This framework of indicators stemming from literature has not yet been used in a combined comprehensive analysis. Furthermore, we tried to show the characteristics of strategic types driving industry convergence in probiotics.
Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of.structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely available R-packages lavaan, semTools, and semPlot. The combination of these packages enable a highly efficient analysis of the measurement models both for normally distributed as well as ordinal data. Data from two freely available datasets – the first with continuous the second with ordered indicators - will be used to provide a walk-through the individual steps.
Background:
One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology.
Objective:
The aim of the present study was to identify predictors of dropout from this Web program.
Methods:
A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants’ age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method.
Results:
The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout.
Conclusions:
Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment.
Für manche Vorgesetzte im Bibliothekswesen mag in der
beziehungsorientierten Mitarbeiterführung keine besondere Herausforderung liegen. So verwundert es nicht, dass Führungsthemen in der bibliothekarischen Literatur häufig auf der aufgabenbezogenen Ebene behandelt werden. Doch gerade die nicht aufgabenbezogenen Führungsthemen haben es in sich. Wer glaubt, Mitarbeiter etwa fördern und weiterentwickeln zu können, ohne die kulturellen Bedingungen des öffentlichen Dienstes zu verstehen, wird nicht selten erstaunt darüber sein, wie vielfältig die Abwehrmechanismen sein können. Häufig ist dann die Rede von Demotivation und Minderleistung auf Seiten der Mitarbeiter. Und wer glaubt, kulturelle Veränderungen und Organisationsentwicklungen vornehmen zu können, ohne die Spielregeln des öffentlichen Dienstes zu berücksichtigen, wird mitunter über die Hartnäckigkeit der Beharrungskräfte verblüfft sein, die am Traditionellen festhalten. Wie funktioniert der öffentliche Dienst und wie kann Mitarbeiterführung in einer monopolistischen Verwaltungskultur gelingen?
In seinem jüngst veröffentlichtem Urteil vom 17.10.2013 – III R 27/12 hat der BFH entschieden, dass bei einer Photovoltaikanlage, die auf dem Dach eines sonst privat genutzten Gebäudes installiert ist, die anteiligen Gebäudekosten nicht als Betriebsausgaben im Rahmen der Ermittlung der Einkünfte aus Gewerbebetrieb steuerlich beachtlich sind. Nachfolgend werden das Urteil und seine Praxisfolgen erläutert, die für betroffene Steuerpflichtige auf den ersten Blick nachteilig wirken.